README 1.8 KB

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  1. MetaPhlAn2 is a computational tool for profiling the composition of
  2. microbial communities (Bacteria, Archaea and Eukaryotes) from meta-
  3. genomic shotgun sequencing data (i.e. not 16S) with species-level.
  4. With the newly added StrainPhlAn module, it is now possible to perform
  5. accurate strain-level microbial profiling. MetaPhlAn2 relies on ~1.5M
  6. unique clade-specific marker genes. The latest marker information file
  7. `mpa_v29_CHOCOPhlAn_201901_marker_info.txt.bz2` can be found in the
  8. Download page (https://bitbucket.org/biobakery/metaphlan2/downloads/)
  9. identified from ~100,000 reference genomes (~99,500 bacterial and
  10. archaeal and ~500 eukaryotic), allowing:
  11. * unambiguous taxonomic assignments;
  12. * accurate estimation of organismal relative abundance;
  13. * species-level resolution for bacteria, archaea, eukaryotes, viruses;
  14. * strain identification and tracking
  15. * orders of magnitude speedups compared to existing methods.
  16. * metagenomic strain-level population genomics
  17. If you use MetaPhlAn2, please cite:
  18. MetaPhlAn2 for enhanced metagenomic taxonomic profiling. Duy Tin Truong,
  19. Eric A Franzosa, Timothy L Tickle, Matthias Scholz, George Weingart,
  20. Edoardo Pasolli, Adrian Tett, Curtis Huttenhower & Nicola Segata. Nature
  21. Methods 12, 902-903 (2015)
  22. If you use StrainPhlAn, please cite the MetaPhlAn2 paper and the
  23. following StrainPhlAn paper:
  24. Microbial strain-level population structure and genetic diversity from
  25. metagenomes. Duy Tin Truong, Adrian Tett, Edoardo Pasolli, Curtis
  26. Huttenhower, & Nicola Segata. Genome Research 27:626-638 (2017)
  27. NOTE!
  28. The script places the python files in /usr/share/MetaPhlAn2 and creates
  29. symlinks to /usr/bin. If you are using metaphlan2.py with Ugene, it may
  30. not work with the symlink. Instead, just point Ugene directly to
  31. /usr/share/MetaPhlAn2/metaphlan2.py